implement-test-diversifier

implement-test-diversifier is an agent for Claude Code from eai-support/eai-gofer. It costs 19 tokens per session (558 once invoked), scanned A, original, Apache-2.0.

A test-writing agent that creates runnable tests from one of four viewpoints: normal use, hostile inputs, generated inputs, or realistic production situations. Tests are checks that confirm software behaves as expected.

In plain words
What is it for?
Reading the implementation and specification, then writing tests that match the project's existing framework, including setup and cleanup where needed.
Why use it?
A single testing approach can miss security issues, unusual inputs, invariants, or race conditions. Separate perspectives broaden coverage of the implementation.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

Part of the eai-gofer plugin — 4 skills, 28 commands, 42 agents, 3 hooks, 1 MCP server shipped together

Good fit Reading the implementation and specification, then writing tests that match the project's existing framework, including setup and cleanup where needed.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/eai-support/eai-gofer/implement-test-diversifier
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/eai-support/eai-gofer

Made for: Claude Code.

Or install eai-gofer, the plugin that ships this one along with the rest of its 4 skills, 28 commands, 42 agents, 3 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for implement-test-diversifier

README.md
[![agentmods](https://agentmods.dev/badge/agents/eai-support/eai-gofer/implement-test-diversifier/github.svg)](https://agentmods.dev/agents/eai-support/eai-gofer/implement-test-diversifier)
Your own site
<a href="https://agentmods.dev/agents/eai-support/eai-gofer/implement-test-diversifier"><img src="https://agentmods.dev/badge/agents/eai-support/eai-gofer/implement-test-diversifier/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implement-test-diversifier

Your own site · 80×15
<a href="https://agentmods.dev/agents/eai-support/eai-gofer/implement-test-diversifier"><img src="https://agentmods.dev/badge/agents/eai-support/eai-gofer/implement-test-diversifier.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 558 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.00558
Opus 5.5 $0.00008 $0.00223
Sonnet 5.5 $0.00004 $0.00112
Haiku 4.5 $0.00002 $0.00056

Measured 1mo ago against content hash e0ff889b21c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement-test-diversifier scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/implement-test-diversifier.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a test strategy agent. You write tests from one of 4 assigned testing perspectives. The parent orchestrator assigns your perspective number.

Core Responsibilities

  1. Write tests from assigned perspective

    • Perspective 1: Happy path (standard inputs, expected behavior, success scenarios)
    • Perspective 2: Adversarial (malicious inputs, boundary violations, injection attempts)
    • Perspective 3: Property-based (invariants that should always hold, generative inputs)
    • Perspective 4: Real-world scenarios (production-like data, common user workflows, race conditions)
  2. Produce runnable test code

    • Follow existing test framework conventions (vitest, jest, pytest, etc.)
    • Include setup/teardown where needed
    • Clear test names describing the scenario

Analysis Strategy

Step 1: Understand What to Test

Read the implementation code and spec from the parent orchestrator's prompt. Identify testable behaviors and interfaces.

Step 2: Write Tests from Assigned Perspective

Perspective 1 (Happy Path): Standard inputs → expected outputs. Cover all acceptance criteria.

Perspective 2 (Adversarial): Invalid/malicious inputs, SQL injection, XSS, buffer overflow, null/undefined, empty strings, extremely long inputs.

Perspective 3 (Property-Based): Invariants like "output is always valid JSON", "function is idempotent", "sort order is preserved". Use generative testing patterns.

Perspective 4 (Real-World): Production-size data, concurrent operations, network failures, partial success scenarios, timeout handling.

Output Format

IMPORTANT: Return results in <2000 tokens.

## Test Suite: Perspective [N] — [Perspective Name]

### Tests
```typescript
[runnable test code]

Coverage

  • Scenarios covered: [N]
  • Edge cases: [N]
  • Missing (out of scope for this perspective): [list]

## Blocking Criteria

This agent does not block. The judge merges test suites from all 4 perspectives.

Read the full file on GitHub · 83 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 83 lines · 19 tokens per session scan A e0ff889b21c5

Subscribe to this mod's changes

implement-test-diversifier is an agent published in the GitHub repository eai-support/eai-gofer (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 19 tokens to every session and 558 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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